Alan Baratz

@Deloitte’s piece is a strong signal: quantum computing is moving from long-range R&D into enterprise infrastructure planning. At D-Wave, we believe that shift is well underway. Hybrid quantum-classical computing, cloud access, and on-premises quantum systems are giving organizations practical ways to start integrating quantum into real workflows today, especially for complex optimization problems. The companies that build quantum readiness into their AI, HPC, and data center strategies now will be better positioned as the technology scales. Quantum shouldn’t be treated as something to revisit later. It belongs in the infrastructure conversation today. $QBTS #QuantumComputing #HPC #EnterpriseTechnology deloitte.com/us/en/insights…

One reason I’m excited about D-Wave’s dual-rail gate-model approach: it targets one of quantum’s biggest tradeoffs. @Google’s work on superconducting systems shows the power of speed. John Preskill’s @TeamOratomic’s analysis highlights the efficiency potential of neutral atoms. But speed matters. A system that takes months to run a critical computation may not be practical, even if it uses fewer qubits. That’s the tradeoff: superconducting approaches are fast but resource-intensive. Ions and atoms can be efficient but slow. D-Wave’s dual-rail approach is designed to change that equation, combining superconducting speed with greater efficiency, reliability and scalability. If ions and atoms are bicycles, and traditional superconducting systems are prop planes, D-Wave’s dual-rail approach is the jet. Speed. Efficiency. Scale. That’s the path to fault-tolerant quantum computing. #quantumcomputing $QBTS

As you may have heard on yesterday’s earnings call, I shared more details on D-Wave’s dual-rail gate-model roadmap: - By the end of 2028, we plan to have approximately 175 physical qubits, which will allow us to demonstrate our quantum error correction technology as well as logical operations. - By the end of 2030, the integration with D-Wave's scalable control is expected to take us to 10 logical qubits. - By the end of 2032, we will deliver 100 logical qubits. This accelerated roadmap is based on the unique opportunity to merge Quantum Circuits' expertise in engineering high-coherence superconducting quantum devices with D-Wave's extensive toolbox for scaling superconducting quantum processors. With 100 logical qubits, we expect D-Wave to capture as much of the gate-model market as any other gate-model quantum computing company. Learn more by joining us in-person or virtually at Investor Day on June 1. #quantumcomputing $QBTS investorday2026.dwavequantum.com

There’s a lot of discussion right now about when quantum computing will deliver practical value. That moment is already here. We’ve demonstrated quantum computational supremacy on a useful, real-world problem — magnetic materials simulation — with results published in Science. Our Advantage2 annealing quantum computer performed calculations in minutes that would take one of the world’s most powerful classical supercomputers nearly one million years and more than the world’s annual electricity consumption to solve. Materials simulation has real-world relevance to areas like electronics, superconductors, sensors, motors and energy systems. For D-Wave, this is what quantum realized looks like: scientific proof, real-world relevance and a clear path to helping customers solve important problems today. #quantumcomputing $QBTS dwavequantum.com/beyond-classic…

Earlier this year, we announced @FloridaAtlantic’s purchase of a $20 million D-Wave Advantage2 system, an investment that has the potential to be transformative for both the university and the state of Florida. It gives FAU the opportunity to build a leading center for quantum computing education, research, and applied innovation, while helping position Florida as a growing hub for quantum talent and industry collaboration. That’s the kind of commitment that helps build a lasting quantum ecosystem. #QuantumComputing $QBTS sponsored.chronicle.com/the-quantum-le…

.@LosAlamosNatLab recently shared how our annealing quantum computers are contributing to scientific discovery at the lab. Their researchers showed how D-Wave technology can be used not only for optimization, but as a controllable experimental platform to study how complex systems evolve, retain memory, approach tipping points, and behave at scale. This body of work reinforces something we’ve long recognized: our quantum computing technology can deliver value today on high-impact problems, now. #QuantumComputing $QBTS lanl.gov/media/news/041…

D-Wave’s dual-rail qubit technology offers a more practical path to error correction. With built-in erasure detection, these qubits can identify ~90% of errors as they occur, with an observed erasure rate of just 0.5%. Our gate-model technology also delivers >99.9% fidelities while reducing the physical qubits needed for logical qubits by up to an order of magnitude. Combined with scalable cryogenic control and commercial-grade infrastructure, we see dual-rail as a genuine inflection point — and a clear D-Wave advantage. #QuantumComputing $QBTS

I’ve said it before, and I’ll say it again. Annealing quantum computing is the stronger path for optimization problems, and the research keeps pointing in the same direction. Gate-model systems are harder to tune, they struggle when they cannot see enough of a problem at once, and the extra overhead needed to make them work at scale can erase much of the benefit. Annealing does not carry those same disadvantages because optimization is what it was built to do. Don’t believe the hype. $QBTS #quantumcomputing

Global leaders understand the importance of quantum technologies. We commend the @housescience for passage of the NQI reauthorization bill. The committee strikes the right balance between advancing research of quantum computing hardware and expanding government programs that include near-term applications to support innovative quantum-powered solutions. We stand ready to work with Congress on advancing both annealing and gate-model quantum computing systems to address complex problems facing our society. $QBTS #quantumcomputing

Quantum computing is entering a defining moment, where execution, commercial traction and a clear path to scale will separate the leaders from the rest. On June 1, we’ll host D-Wave’s first-ever Investor Day at the @NYSE and online to share how our differentiated strategy, technology leadership, expanding market adoption and long-term growth roadmap position us to lead this next era of computing. Join us as we share the D-Wave difference. $QBTS #quantumcomputing dwavequantum.com/company/newsro…

.@Google and @Amazon’s huge new commitments to @AnthropicAI are another reminder that AI is becoming a race for compute, power, and capital as much as a race for models. Google is committing up to $40B, and Amazon up to $25B, as Anthropic scales Claude and expands capacity. Meeting that demand will require more infrastructure as well as new ways of thinking about compute. We believe that quantum computing can become part of the answer. $QBTS #QuantumComputing #AI

The path to scalable quantum computing will not be won by simply adding more qubits. It will be won by building better ones. Much of the gate-model industry has pursued scale first and planned to address the error challenge later. We believe that is the wrong approach. D-Wave’s dual-rail qubits give us an important advantage by enabling a correct-first architecture designed to detect errors earlier at the hardware level. That creates a stronger foundation for scale. In our view, the real differentiator is not scale at any cost. It is correct first, then scale. $QBTS #quantumcomputing

As telecom operators face margin pressure, rising complexity, and growing demand for outcome-based services, optimization is becoming more strategic than ever. That’s where quantum computing can help, tackling hard operational problems such as technician dispatch and network resource optimization. For an industry being pushed to do more with tighter economics, these are exactly the kinds of challenges where D-Wave technology can make an impact. #Telecom #QuantumComputing #NetworkOptimization $QBTS deloitte.com/us/en/insights…

Last week I had the opportunity to speak about quantum computing with business and government leaders at Semafor World Economy. One of the highlights was my discussion with @optimum CEO Dennis Mathew and @semafor @ReedAlbergotti about annealing quantum computing’s commercial readiness and our technology’s ability to solve hard computational problems today. Quantum adoption is becoming a competitive advantage, and the leaders will be the ones who move now. #QuantumComputing $QBTS youtube.com/live/TQ5uUuLkc…

This Earth Day, it is worth recognizing that performance and energy efficiency do not have to be at odds. Across six generations of quantum computers, D-Wave’s systems have required just 12.5 kW of power. And in our quantum supremacy result, the materials simulation we solved in minutes would have required more than the world’s annual electricity consumption to solve classically. For customers, the potential impact is transformational: lower energy use, lower computing costs, and breakthrough performance on the world’s hardest problems. #EarthDay #QuantumComputing $QBTS dwavequantum.com/beyond-classic…

Much of the industry is focused on how AI can accelerate quantum computing. At D-Wave, we’re focused on the other side of the equation: how annealing quantum computing can strengthen AI/ML workflows through better optimization and sampling, faster performance, lower energy use, and better outcomes. AI progress cannot depend forever on simply adding more GPUs, more power and more cost to the problem. The future of AI will be shaped by architectures that go beyond traditional GPU-heavy scaling. #QuantumComputing #AI $QBTS dwavequantum.com/solutions-and-…

China’s latest Five-Year Plan puts quantum at the center of its “industries of the future” strategy, with a goal of broad quantum computer availability by 2030 and an estimated $16B in state backing. That is exactly why NQI reauthorization matters. The Senate Commerce Committee just advanced a bipartisan bill that expands support for near-term applications, testbeds, manufacturing, and quantum cybersecurity migration. The U.S. cannot afford to slow down now. #QuantumComputing $QBTS

I recently sat down with @themotleyfool to share an update on D-Wave’s technical and commercial momentum. One of the important parts of the discussion focused on why different quantum computing approaches matter: • Annealing excels at optimization and is commercially deployed today • Gate-model will be critical for chemistry and materials—but needs error correction to scale • A dual-platform strategy is essential to address the full market – and we’re the only ones offering it to help our customers address their range of computational problems. #QuantumComputing $QBTS youtube.com/watch?v=tDZfdp…

Our first Quantum Matters podcast episode is live, hosted by @Quantum_Murray and featuring Martin Hofmann, former group CIO of Volkswagen. They discussed how quantum computing is being applied today, from traffic optimization to real-time decision making, using hybrid quantum-classical approaches. The focus: solve real problems and drive measurable outcomes. For those of you considering whether now is the time for your company to adopt quantum computing, this episode offers a practical view into its applications. #QuantumComputing #Mobility $QBTS dwavequantum.com/learn/quantum-…

On World Quantum Day, one thing is clear: quantum computing is no longer just about possibility. It is about impact. While others are still racing to prove future relevance, D-Wave has already crossed an important line: delivering commercially viable quantum computing today. Our annealing systems are creating value now on real-world problems. Our gate-model work is advancing a differentiated path forward. And our customers are no longer asking whether quantum computing will matter, they are asking how fast they can deploy it. That is the shift this moment represents. Quantum is moving out of the lab and into operations, helping organizations make better decisions, improve efficiency, and tackle problems classical systems alone cannot solve. This World Quantum Day is not just a celebration of scientific promise. It is recognition that quantum computing is already starting to transform the world—and D-Wave intends to keep leading that transition. #WorldQuantumDay #QuantumComputing $QBTS linkedin.com/posts/alan-bar…